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Find the polynomial orders using the model selection methods explained in Section Polynomial order selection (employing either MDL or CV through Equations 24 and 33, respectively).
Verification results show that the third method using the model selection strategy is the most efficient one for nonlinear structural parameter identification.
The reconstruction of f from { f ̂ k } k = 1 K is given in the following steps: (1) Find the polynomial orders using the model selection methods explained in Section Polynomial order selection (employing either MDL or CV through Equations 24 and 33, respectively).
The response variable was modelled for dependence on predictor variables using the model selection method based on the Akaike's Information Criterion (AIC) corrected for small sample size, AICc [47].
Prior to phylogenetic tree estimation, the codon position model was optimised using the model selection feature in the TOPALi v2 package [41] which produces improved estimates of Likelihood values and derived statistical quantities (AIC, BIC).
The selection of the most appropriate substitution model (BLOSSUM62) was performed using the model selection program provided on the server.
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To determine the best protein model for ML, we used the model selection function within MEGA, based on a neighbor-joining tree and amino acid substitution model.
Further analysis of our results (not shown) shows that this appears to be due to the fact that when a random tree is used, the model selection procedure tends to generally favour over-parameterised models which is consistent with the findings of a previous study on nucleotide sequences [ 37].
One immediate disadvantage of using the model order selection criterion is that since it is aimed at finding the optimal order among optional items.
One set, with 402 compounds, is used as the model selection set; whilst the other set, with the remaining 202 compounds, is used as an external validation set.
AICc was used for the model selection of eruption categories VEI 7 (29 events), M ≥ 6.5 (50 events) and M ≥ 7 (34 events).
More suggestions(15)
using the covariate selection
using the model development
using the model dataset
using the model d-2
using the path selection
using the stepwise selection
using the Kish selection
using the model number
using the neomycin selection
using the color selection
using the satellite selection
using the channel selection
using the polygon selection
using the freehand selection
using the tournament selection
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